BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

63.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Helpers--Roofers

They assist roofers by carrying materials, removing old roofing, and cleaning up to ensure roofs are built or repaired efficiently and safely.

Summary

The career of Helpers–Roofers is labeled as "Stable" because, while some tasks like inspecting roofs and nailing shingles are starting to get help from AI and robots, many important jobs still need human skills. Tasks such as cleaning up, checking for leaks, and keeping tools in good condition rely on careful judgment and problem-solving that only people provide.

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Summary

The career of Helpers–Roofers is labeled as "Stable" because, while some tasks like inspecting roofs and nailing shingles are starting to get help from AI and robots, many important jobs still need human skills. Tasks such as cleaning up, checking for leaks, and keeping tools in good condition rely on careful judgment and problem-solving that only people provide.

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Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

68.7%

68.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

98.4%

98.4%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

64.0%

64.0%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

5.7%

Growth Percentile:

78.1%

Annual Openings:

0.6

Annual Openings Pct:

6.3%

Analysis of Current AI Resilience

Helpers--Roofers

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Some roofer-helper tasks are starting to get AI help, but many still need people. For example, researchers have shown that drones with cameras and AI can fly over sloped roofs and automatically spot missing or damaged shingles [1]. This can make finding worn or torn roofing safer and faster than sending a person up a ladder.

Similarly, a startup is building a roof-robot that travels on wires, unloads shingles, and nails them in place [2]. They report it could double a crew’s output [2] by doing the repetitive shingle-nailing task.

Other tasks remain manual. Robots like Boston Dynamics’ “Spot” have been tested to pick up debris or carry tools on a construction site [3], but “sweeping” a roof or sealing leaks is still mostly done by hand. In fact, industry projects note that construction-site cleaning robots are only just being built prototypes now [4].

Checking that a roof is watertight or keeping tools in good shape still relies on a human’s careful judgment. In short, AI and robotics are being tried for the easiest roof tasks (inspecting, lifting, nailing), while hands-on work and safety checks still need a person [1] [3].

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AI Adoption

AI Adoption

There are strong reasons both for and against quick AI use in roofing. On the positive side, roof work is hard and dangerous, and helpers are in short supply. Industry analysts note that construction has a labor shortage, so automation can boost productivity safely [5].

For example, the company building the shingle-laying robot says it will help solve the labor gap and make roofing faster and safer [2]. Drone inspections are also catching on: the drone inspection market is growing fast (from $9.1 B in 2021 to a projected $33.6 B by 2030) [1], as companies see cost savings and safety benefits.

On the cautious side, new AI tools are expensive and roofs are hard to automate. Helpers must still be trained in the technology. Government data even lists Roofers–Helpers as having a “Bright Outlook,” meaning many jobs are still expected [6], so firms may hire people rather than spend lots on robots.

Echoing this, builders test robots as assistants – Skanska’s team says its Spot robot is an “extra set of legs and eyes,” not a replacement [3]. In practice, most roofing tasks (like cleanup, tool upkeep, final leak checks) remain human jobs for now. Young workers shouldn’t worry that computers will do everything – teamwork of humans plus AI tools is the most likely future.

Using AI in roofing can make jobs safer and faster, but the human skills of problem-solving, care, and decision-making continue to be very valuable [5] [3].

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Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

65% ResilienceCore Task

Check to ensure that completed roofs are watertight.

2

65% ResilienceCore Task

Sweep and clean roofs to prepare them for the application of new roofing materials.

3

65% ResilienceCore Task

Clean work areas and equipment.

4

65% ResilienceCore Task

Cover roofs with layers of roofing felt or asphalt strips before installing tile, slate, or composition materials.

5

65% ResilienceCore Task

Remove old roofing materials.

6

65% ResilienceCore Task

Unload materials and tools from work trucks, and unroll roofing as directed.

7

65% ResilienceCore Task

Set ladders, scaffolds, and hoists in place for taking supplies to roofs.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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